LEADER 00904nam0-22003251i-450- 001 990006799320403321 005 20001010 035 $a000679932 035 $aFED01000679932 035 $a(Aleph)000679932FED01 035 $a000679932 100 $a20001010d--------km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $aOrientare le prestazioni$fMassimo Reggiani, Giuseppe Senise 210 $aMilano$cF. Angeli$dc 1994. 215 $a128 p.$d22 cm 225 1 $aCompetenze. Sez. 2. Guide all'azione$v1 610 0 $aAziende - Personale - Gestione 676 $a658.301 700 1$aReggiani,$bMassimo$0411182 702 1$aSenise,$bGiuseppe 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990006799320403321 952 $aVI H 405$b23876$fFSPBC 959 $aFSPBC 996 $aOrientare le prestazioni$9633701 997 $aUNINA DB $aGEN01 LEADER 00877cam0-2200277 --450 001 9910166256603321 005 20170315125213.0 010 $a978-1-78068-109-2 100 $a20170315d2012----kmuy0itay5050 ba 101 $aeng 102 $aGB 105 $a 001yy 200 1 $aAdministrative law of the European Union, its Member States and the United States$ea comparative analysis$feditor Rene Seerden 205 $a3. ed 210 $aCambridge$cIntersentia$d2012 215 $aXXIV, 392 p.$d24 cm. 225 1 $aIus commune europaeum$v109 676 $a342.06$v21$zita 702 1$aSeerden,$bRené 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 0$aBK 912 $a9910166256603321 952 0$aVI B 454$b71/2017$fFGBC 959 0$aFGBC 996 $aAdministrative law of the european Union, its member states and the United States$91015416 997 $aUNINA LEADER 02105oam 2200529 450 001 9910703514903321 005 20150601072124.0 035 $a(CKB)5470000002432556 035 $a(OCoLC)904255168 035 $a(EXLCZ)995470000002432556 100 $a20150302d2014 ua 0 101 0 $aeng 135 $aurbn||||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aAfter the withdrawal $ethe way forward in Afghanistan and Pakistan$hPart III : joint hearing before the Subcommittee on the Middle East and North Africa and the Subcommittee on Asia and the Pacific of the Committee on Foreign Affairs, House of Representatives, One Hundred Thirteenth Congress, second session, December 10, 2014 210 1$aWashington :$cU.S. Government Printing Office,$d2014. 215 $a1 online resource (v, 69 pages) 300 $aPaper version available for sale by the Superintendent of Documents, U.S. Government Printing Office. 300 $a"Serial no. 113-233." 300 $aTitle from title screen (viewed Mar. 2, 2015). 517 $aAfter the withdrawal 606 $aAfghan War, 2001-2021 607 $aUnited States$xForeign relations$zAfghanistan 607 $aAfghanistan$xForeign relations$zUnited States 607 $aUnited States$xMilitary relations$zAfghanistan 607 $aAfghanistan$xMilitary relations$zUnited States 607 $aUnited States$xForeign relations$zPakistan 607 $aPakistan$xForeign relations$zUnited States 607 $aAfghanistan$xForeign relations$zPakistan 607 $aPakistan$xForeign relations$zAfghanistan 608 $aLegislative hearings.$2lcgft 615 0$aAfghan War, 2001-2021. 712 02$aUnited States.$bCongress.$bHouse.$bCommittee on Foreign Affairs.$bSubcommittee on Asia and the Pacific. 801 0$bGPO 801 1$bGPO 801 2$bGPO 801 2$bSTF 801 2$bGPO 801 2$bCOO 801 2$bOCLCO 801 2$bGPO 906 $aBOOK 912 $a9910703514903321 996 $aAfter the withdrawal$93450168 997 $aUNINA LEADER 04071nam 22007335 450 001 9910733712103321 005 20251113182104.0 010 $a981-19-2008-7 024 7 $a10.1007/978-981-19-2008-0 035 $a(CKB)26748005300041 035 $a(MiAaPQ)EBC7250384 035 $a(Au-PeEL)EBL7250384 035 $a(OCoLC)1379265692 035 $a(DE-He213)978-981-19-2008-0 035 $a(PPN)270616527 035 $a(EXLCZ)9926748005300041 100 $a20230516d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Finance with R /$fby Rituparna Sen, Sourish Das 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (352 pages) 225 1 $aIndian Statistical Institute Series,$x2523-3122 311 08$a9789811920073 320 $aIncludes bibliographical references and index. 327 $aPart I. Numerical Methods -- 1. Preliminaries -- 2. Solving a System of Linear Equations -- 3. Solving Non-Linear Equations -- 4. Numerical Integration -- 5. Numerical Differentiation -- 6. Numerical Methods for PDE -- 7. Optimization -- Part II. Simulation Methods -- 8. Monte-Carlo Methods -- 9. Lattice Models -- 10. Simulating Brownian Motion -- 11. Variance Reduction -- 12. Bayesian Computation with Stan -- 13. Resampling -- Part III. Statistical Methods -- 14. Descriptive Methods -- 15. Inferential Statistics -- 16. Statistical Risk Analysis -- 17. Multivariate Analysis -- 18. Univariate Time Series -- 19. Multivariate Time Series -- 20. High Frequency Data -- 21. Supervised Learning -- 22. Unsupervised Learning -- Appendix -- A. Basics of Mathematical Finance -- B. Introduction to R -- C. Extreme Value Theory in Finance -- Bibliography. . 330 $aThis book prepares students to execute the quantitative and computational needs of the finance industry. The quantitative methods are explained in detail with examples from real financial problems like option pricing, risk management, portfolio selection, etc. Codes are provided in R programming language to execute the methods. Tables and figures, often with real data, illustrate the codes. References to related work are intended to aid the reader to pursue areas of specific interest in further detail. The comprehensive background with economic, statistical, mathematical, and computational theory strengthens the understanding. The coverage is broad, and linkages between different sections are explained. The primary audience is graduate students, while it should also be accessible to advanced undergraduates. Practitioners working in the finance industry will also benefit. 410 0$aIndian Statistical Institute Series,$x2523-3122 606 $aStatistics 606 $aSocial sciences$xMathematics 606 $aStochastic analysis 606 $aMachine learning 606 $aStatistics$xComputer programs 606 $aStatistics in Business, Management, Economics, Finance, Insurance 606 $aMathematics in Business, Economics and Finance 606 $aStochastic Analysis 606 $aStatistics 606 $aMachine Learning 606 $aStatistical Software 615 0$aStatistics. 615 0$aSocial sciences$xMathematics. 615 0$aStochastic analysis. 615 0$aMachine learning. 615 0$aStatistics$xComputer programs. 615 14$aStatistics in Business, Management, Economics, Finance, Insurance. 615 24$aMathematics in Business, Economics and Finance. 615 24$aStochastic Analysis. 615 24$aStatistics. 615 24$aMachine Learning. 615 24$aStatistical Software. 676 $a332.028553 700 $aSen$b Rituparna$01370247 702 $aDas$b Sourish 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910733712103321 996 $aComputational finance with R$93397892 997 $aUNINA